Potential impact of climate change on plant diseases of economic significance to Australia

Chakraborty, Sukumar; Murray, G. M.; Magarey, P. A.; Yonow, Tania; O'Brien, R. G.; Croft, B. J.; Barbetti, Martin J.; Sivasithamparam, Krishnapillai; Old, K.M.; Dudzinski, M. J.; Sutherst, R. W.; Penrose, L. J.; Archer, C. Ruth; Emmett, R. W.

doi:10.1071/ap98001

Cited by 133 publications

(104 citation statements)

References 59 publications

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“…Whereas some predicted effects of climate change may be anticipated by qualitative reasoning (Coakley et al 1999), others, such as the small effect on the date of phoma leaf spotting in autumn, may not. It is important to recognize that climate change effects on complex hostpathogen-environment interaction may also decrease severity of epidemics (Chakraborty et al 1998).…”

Section: Discussionmentioning

confidence: 99%

“…Recently, GCMs have been used to predict the increase in range of Phytophthora cinnamomi (Bergot et al 2004). Whereas empirical modelling has been used to produce disease epidemic models for combining with climate change predictions (Chakraborty et al 1998;Coakley et al 1999), few models have been based on datasets including both regional and seasonal variations that are sufficiently extensive to allow both model development and validation.…”

Section: Introductionmentioning

confidence: 99%

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Range and severity of a plant disease increased by global warming

Evans

Baierl

Semenov

et al. 2007

J. R. Soc. Interface.

188

204

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Climate change affects plants in natural and agricultural ecosystems throughout the world but little work has been done on the effects of climate change on plant disease epidemics. To illustrate such effects, a weather-based disease forecasting model was combined with a climate change model predicting UK temperature and rainfall under high-and low-carbon emissions for the 2020s and 2050s. Multi-site data collected over a 15-year period were used to develop and validate a weather-based model forecasting severity of phoma stem canker epidemics on oilseed rape across the UK. This was combined with climate change scenarios to predict that epidemics will not only increase in severity but also spread northwards by the 2020s. These results provide a stimulus to develop models to predict the effects of climate change on other plant diseases, especially in delicately balanced agricultural or natural ecosystems. Such predictions can be used to guide policy and practice in adapting to effects of climate change on food security and wildlife.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Range and severity of a plant disease increased by global warming

Evans

Baierl

Semenov

et al. 2007

J. R. Soc. Interface.

188

204

View full text Add to dashboard Cite

show abstract

“…In both biotrophic and necrotrophic organisms, significant changes were reported in the onset and duration of the stages in the pathogen life cycle under elevated CO 2 . The latent period, the time between inoculation and sporulation, was sometimes longer at high CO 2 (Chakraborty et al 1998). The present resistance tests performed by direct inoculation of single florets also pointed to a longer latent period in one variety, Mv Emma, before Fusarium symptoms became visible.…”

Section: Discussionmentioning

confidence: 99%

“…In previous work, the following general tendencies have been reported in response to high CO 2 levels (based on reviews by Manning and von Tiedemann 1995;Chakraborty et al 1998;Coakley et al 1999;Chakraborty and Datta 2003;Chakraborty et al 2008):…”

Section: Introductionmentioning

confidence: 99%

Response of wheat fungal diseases to elevated atmospheric CO₂level

Bencze¹,

Vida²,

Balla³

et al. 2013

Cereal Research Communications

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Infection with fungal pathogens on wheat varieties with different levels of resistance was tested at ambient (NC, 390 ppm) and elevated (EC, 750 ppm) atmospheric CO 2 levels in the phytotron. EC was found to affect many aspects of the plant-pathogen interaction. Infection with most fungal diseases was usually found to be promoted by elevated CO 2 level in susceptible varieties. Powdery mildew, leaf rust and stem rust produced more severe symptoms on plants of susceptible varieties, while resistant varieties were not infected even at EC. The penetration of Fusarium head blight (FHB) into the spike was delayed by EC in Mv Mambo, while it was unaffected in Mv Regiment and stimulated in Mv Emma. EC increased the propagation of FHB in Mv Mambo and Mv Emma. Enhanced resistance to the spread of Fusarium within the plant was only found in Mv Regiment, which has good resistance to penetration but poor resistance to the spread of FHB at NC. FHB infection was more severe at EC in two varieties, while the plants of Mv Regiment, which has the best field resistance at NC, did not exhibit a higher infection level at EC.The above results suggest that breeding for new resistant varieties will remain a useful means of preventing more severe infection in a future with higher atmospheric CO 2 levels.

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“…The nature and magnitude of GCC will potentially influence plant diseases and the efficacy of their management options, impacting the productivity and sustainability of agricultural systems (Chakraborty et al, 1998). According to Chakraborty et al (2000) one of the most likely impacts of climate change will be felt in the geographical distribution of plant diseases, with possible changes in the relative importance and spectrum of diseases and the emergence of new disease complexes.…”

Section: Introductionmentioning

confidence: 99%

Worldwide geographical distribution of Black Sigatoka for banana: predictions based on climate change models

Júnior¹,

Júnior²,

Cecílio³

et al. 2008

Sci. agric. (Piracicaba, Braz.)

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Global climatic changes will potentially influence plant diseases and the efficacy of their management options. One of the most likely impacts of climate change will be felt by the geographical distribution of plant diseases. Black Sigatoka is considered the most damaging and costly disease of banana. The socio-economic impact of this disease has continued to increase as the pathogen reaches new areas and the disease becomes more difficult to be controled. The objectives of this research were to compare the global geographical distribution of the disease based on maps elaborated using weather data representing: i) current and future periods (2020, 2050 and 2080), ii) Intergovernmental Panel on Climate Change scenarios A2 and B2, iii) predictions based on six different climate change models and the "multimodel ensemble" and, iv) individual months. The "multimodel ensemble" lead to a reduction in the variability of the simulations when compared to the results obtained using the individual models separately. The predictions suggested that, in the future, areas favorable for the development of the Black Sigatoka disease will decrease. This reduction will occur gradually and will be higher for the A2 than for the B2 scenario. Changes in the geographical distribution of the disease will occur from one month to another, with unfavorable areas becoming favorable and vice-versa. However, in spite of these changes, extensive areas will still continue to be favorable for the occurrence of Black Sigatoka.

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Potential impact of climate change on plant diseases of economic significance to Australia

Cited by 133 publications

References 59 publications

Range and severity of a plant disease increased by global warming

Range and severity of a plant disease increased by global warming

Response of wheat fungal diseases to elevated atmospheric CO₂level

Worldwide geographical distribution of Black Sigatoka for banana: predictions based on climate change models

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Potential impact of climate change on plant diseases of economic significance to Australia

Cited by 133 publications

References 59 publications

Range and severity of a plant disease increased by global warming

Range and severity of a plant disease increased by global warming

Response of wheat fungal diseases to elevated atmospheric CO2level

Worldwide geographical distribution of Black Sigatoka for banana: predictions based on climate change models

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Product

Resources

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Response of wheat fungal diseases to elevated atmospheric CO₂level